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Technical Product Manager Machine Learning Jobs in California

Meta

Product Manager, Machine Learning

Menlo Park, CA

$173K/yr

Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and ... Experience working in a technical environment with a broad, cross functional team to drive product ...

Meta

Product Manager, Machine Learning

Menlo Park, CA · On-site

$173K - $241K/yr

We are looking for extremely entrepreneurial Product Managers with Machine Learning expertise who ... in a technical environment with a broad, cross functional team to drive product vision, define ...

Meta

Engineering Manager, Machine Learning

Menlo Park, CA · On-site

$219K/yr

... production deployment. You will shape the technical strategy for recommendation and ranking ... Engineering Manager, Machine Learning Responsibilities: * Manage multiple teams of ML engineers and ...

UniversalAGI

Technical Product Manager

San Francisco, CA · On-site

$196K - $227K/yr

Act as the translation layer between our elite machine learning researchers, physics domain experts, and enterprise customers. * Support complex deployments: Design product features that accommodate ...

KQED

Technical Product Manager

San Francisco, CA · On-site

Technical Product Manager Schedule Format - Location: Hybrid - San Francisco Pay Information: $122 ... Targeted technical knowledge--such as machine learning/AI models, data pipelines, infrastructure ...

KQED

Technical Product Manager

San Francisco, CA · On-site

$122K - $153K/yr

Technical Product Manager Schedule Format - Location: Hybrid - San Francisco Pay Information: $122 ... Targeted technical knowledge-such as machine learning/AI models, data pipelines, infrastructure, or ...

Kqed Inc

Technical Product Manager

San Francisco, CA · On-site

$122K - $153K/yr

Technical Product Manager Schedule Format - Location: Hybrid - San Francisco Pay Information: $122 ... Targeted technical knowledge--such as machine learning/AI models, data pipelines, infrastructure ...

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What cities in California are hiring for Technical Product Manager Machine Learning jobs?

Cities in California with the most Technical Product Manager Machine Learning job openings:

Infographic showing various Technical Product Manager Machine Learning job openings in California as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Product Manager, Machine Learning

Menlo Park, CA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$173K/yr

Full-time

Re-posted 23 days ago

Key responsibilities

  • Drive product vision, strategies, and roadmaps based on data, research, and market analysis.

  • Lead and motivate a cross-functional team of engineers, designers, data scientists, and researchers to build products.

  • Identify significant opportunities and incorporate organizational goals to develop and deliver products aligned with Meta's mission.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers with Machine Learning expertise who value moving quickly, and can help innovate and coherently drive product initiatives across the company.
Product Manager, Machine Learning Responsibilities:
  • Display strong leadership, organizational and execution skills
  • Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals
  • Incorporate data, research and market analysis to inform product strategies and roadmaps
  • Leads and motivates a team of engineers and other cross-functional representatives, and maintains team health
  • Understand Facebook’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
  • Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm

Minimum Qualifications:
  • 8+ years product management or related industry experience with domain specific expertise in Machine Learning
  • Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
  • Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
  • Experience delivering technical presentations
  • Experience in analyzing complex, large-scale data sets and making decisions based on data
  • Experience in gathering requirements across broad areas and users, and converting and developing them into a product solution
  • Displaying leadership, organizational and execution skills
  • Proven communication skills

Preferred Qualifications:
  • Experience with leveraging ML/AI to build large scale consumer products.
  • Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.
  • Experience defining vision and strategy for a product.
  • Experience recruiting and leading a cross-functional team of world-class individuals.
  • Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm.
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$173,000/year to $241,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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